Example 1: create csv file python
import csv
row_list = [["SN", "Name", "Contribution"],
[1, "Linus Torvalds", "Linux Kernel"],
[2, "Tim Berners-Lee", "World Wide Web"],
[3, "Guido van Rossum", "Python Programming"]]
with open('protagonist.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(row_list)
Example 2: csv python write
import csv
with open('names.csv', 'w') as csvfile:
fieldnames = ['first_name', 'last_name']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})
Example 3: python read csv file
import csv
with open('employee_birthday.txt') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
else:
print(f'\t{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
line_count += 1
print(f'Processed {line_count} lines.')
Example 4: python csv reader
with open(r'c:\dl\FrameRecentSessions.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
else:
print(f'\t{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
line_count += 1
print(f'Processed {line_count} lines.')
Example 5: python csv
>>> import csv
>>> with open('names.csv', newline='') as csvfile:
... reader = csv.DictReader(csvfile)
... for row in reader:
... print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese
>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}
Example 6: how to read a csv file in python
import pandas as pd
df=pd.read_csv('the_file.csv')